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Working at OSTP 201415 Randal E. Bryant Carnegie Mellon - PowerPoint PPT Presentation

Working at OSTP 201415 Randal E. Bryant Carnegie Mellon University http://www.cs.cmu.edu/~bryant My Story CMU n Faculty since 1985 n Dean 20042014 l School of Computer Science spans wide range of disciplines n No


  1. 
 Working at OSTP 
 2014–15 Randal E. Bryant Carnegie Mellon University http://www.cs.cmu.edu/~bryant

  2. My Story CMU n Faculty since 1985 n Dean 2004–2014 l School of Computer Science spans wide range of disciplines n No sabbatical in ~30 years External Leadership n CRA board (2000–2006) n CCC organizer and board member (2010–2017) n NSF CISE Advisory Committee (2006–2009) n NITRD Review (2010) 2014 n Chance to try something different! – 2 –

  3. Background: Policy Credentials – 3 –

  4. Finding Something To Do n Didn’t want real responsibilities n Cost-of-living and travel support from ACM & CRA – 4 –

  5. Arrival at OSTP n Science for policy l How should government respond to Ebola epidemic? n Policy for science l How can NSF & NIH coordinate funding for cross- disciplinary research? 5 – 5 –

  6. Things I did #1 – 6 –

  7. Things I did #2 – 7 –

  8. Existing NSCI Information – 8 –

  9. My Version of NSCI – 9 –

  10. Executive Order July 29, 2015 EXECUTIVE ORDER - - - - - - - CREATING A NATIONAL STRATEGIC COMPUTING INITIATIVE By the authority vested in me as President by the Constitution and the laws of the United States of America, and to maximize benefits of high- performance computing (HPC) research, development, and deployment, it is hereby ordered … The NSCI is a whole-of-government effort designed to create a cohesive, multi-agency strategic vision and Federal investment strategy, executed in collaboration with industry and academia, to maximize the benefits of HPC for the United States. 10 – 10 –

  11. Wrapping Up July 31, 2015 n Continued part time until Dec, 2015 n Allowed wrapping up, while still having official title – 11 –

  12. Things I did #3 Create a new type of computer that can proactively interpret and learn from data, solve unfamiliar problems using what it has learned, and operate with the energy efficiency of the human brain – 12 –

  13. The Benefits of Being in DC – 13 –

  14. Some Things I Learned Opportunities are There n Formal & informal programs n Especially, if you have your own funding Very Collegial Environment n Scientists / nonscientists from broad spectrum n Real interest in getting good policies in place – 14 –

  15. Being a Bureaucrat n Very different from academia n Lots of things you aren’t allowed to do n Lots of attention to little details (“will” vs. “may”) n Mostly work anonymously – 15 –

  16. Some Logistical Issues IPA Assignment n Must follow all rules for government employee n Part-time status simplifies things Security Clearance n Interesting opportunities n Serious responsibilities – 16 –

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